Refresh Frequency Reduction of Data Stored in SSDs Based on A-timer and Timestamps

Abstract : Increasing the number of bits per cell and technology scaling are ways to reduce the cost per gigabyte of Flash memo- ries and solid-state drives (SSDs). Unfortunately, this trend has a negative impact on data retention time and cycling endurance. Periodic data refresh allows dealing with a reduced retention time and, implicitly, improves cycling endurance. A fixed data- refresh frequency is not optimal in the presence of a variable operating temperature since it may become unnecessarily large and alter the SSD response latency and energy consumption. Here, a flexible data-refresh methodology is proposed based on timestamps and approximations of the Arrhenius-curves em- ployed to describe the temperature impact on Flash data reten- tion. The proposed approximations can be easily implemented with the help of a processor-based solution or a proposed small module called A-timer. For an asymmetric temperature distri- bution between 30°C and 70°C, it is estimated that the refresh frequency can be reduced by more than 50× and almost 3× for failure mechanisms with activation energies of 1.1eV and 0.3eV, respectively.
Type de document :
Communication dans un congrès
ETS: European Test Symposium, May 2017, Limassol, Cyprus. IEEE European Test Symposium, 2017, 〈http://www.ets17.org.cy/〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01513910
Contributeur : Luigi Dilillo <>
Soumis le : mardi 25 avril 2017 - 15:31:21
Dernière modification le : jeudi 11 janvier 2018 - 06:28:13

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  • HAL Id : lirmm-01513910, version 1

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Marcelino Seif, Emna Farjallah, Franck Badets, Christophe Layer, Emna Chabchoub, et al.. Refresh Frequency Reduction of Data Stored in SSDs Based on A-timer and Timestamps. ETS: European Test Symposium, May 2017, Limassol, Cyprus. IEEE European Test Symposium, 2017, 〈http://www.ets17.org.cy/〉. 〈lirmm-01513910〉

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